ŠEBESTOVÁ, Eva, Jaroslav BENDL, Jan BREZOVSKÝ and Jiří DAMBORSKÝ. Computational Tools for Designing Smart Libraries. In Gillam, E. M. J., Copp, J. N., Ackerley, D. F.,. Directed Evolution Library Creation. New York: Springer New York, 2014, p. 291-314. 2nd edition, 1197. ISBN 978-1-4939-1052-6. Available from: https://dx.doi.org/10.1007/978-1-4939-1053-3_20. |
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@inbook{1369169, author = {Šebestová, Eva and Bendl, Jaroslav and Brezovský, Jan and Damborský, Jiří}, address = {New York}, booktitle = {Directed Evolution Library Creation}, doi = {http://dx.doi.org/10.1007/978-1-4939-1053-3_20}, editor = {Gillam, E. M. J., Copp, J. N., Ackerley, D. F.,}, keywords = {Computational tool; Rational design; Smart library; Focused library; Directed evolution; Mutation; Protein engineering; Software Web tool}, howpublished = {tištěná verze "print"}, language = {eng}, location = {New York}, isbn = {978-1-4939-1052-6}, pages = {291-314}, publisher = {Springer New York}, title = {Computational Tools for Designing Smart Libraries}, url = {http://link.springer.com/protocol/10.1007%2F978-1-4939-1053-3_20}, year = {2014} }
TY - CHAP ID - 1369169 AU - Šebestová, Eva - Bendl, Jaroslav - Brezovský, Jan - Damborský, Jiří PY - 2014 TI - Computational Tools for Designing Smart Libraries VL - 2nd edition, 1197 PB - Springer New York CY - New York SN - 9781493910526 KW - Computational tool KW - Rational design KW - Smart library KW - Focused library KW - Directed evolution KW - Mutation KW - Protein engineering KW - Software Web tool UR - http://link.springer.com/protocol/10.1007%2F978-1-4939-1053-3_20 L2 - http://link.springer.com/protocol/10.1007%2F978-1-4939-1053-3_20 N2 - Traditional directed evolution experiments are often time-, labor- and cost-intensive because they involve repeated rounds of random mutagenesis and the selection or screening of large mutant libraries. The efficiency of directed evolution experiments can be significantly improved by targeting mutagenesis to a limited number of hot-spot positions and/or selecting a limited set of substitutions. The design of such “smart” libraries can be greatly facilitated by in silico analyses and predictions. Here we provide an overview of computational tools applicable for (a) the identification of hot-spots for engineering enzyme properties, and (b) the evaluation of predicted hot-spots and selection of suitable amino acids for substitutions. The selected tools do not require any specific expertise and can easily be implemented by the wider scientific community. ER -
ŠEBESTOVÁ, Eva, Jaroslav BENDL, Jan BREZOVSKÝ and Jiří DAMBORSKÝ. Computational Tools for Designing Smart Libraries. In Gillam, E. M. J., Copp, J. N., Ackerley, D. F.,. \textit{Directed Evolution Library Creation}. New York: Springer New York, 2014, p.~291-314. 2nd edition, 1197. ISBN~978-1-4939-1052-6. Available from: https://dx.doi.org/10.1007/978-1-4939-1053-3\_{}20.
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